摘要
Abstract
Fishery digitalization is the core driver for marine fishery industry transformation and a critical measure for achieving high-quality marine fishery economic development.This study takes 11 coastal provinces in China(excluding Hong Kong,Macau,and Taiwan)from 2011 to 2023 as the research subjects.Based on the entropy weight method and the coupling coordination model,an evaluation system for fishery digitalization and high-quality development in the marine fishery economy is constructed to explore their development levels and coupling coordination relationship.Key findings are as bellows.(1)The development levels of both have shown an overall upward trend,with significant disparities among different provinces and an unbalanced spatial development p attern.The fishery digitalization index has increased from 0.169 to 0.354,and the high-quality development index has risen from 0.14 to 0.24.Meanwhile,except for Shandong Province,the levels of fishery digitalization and high-quality marine fishery development in the Bohai Rim region are significantly lower than those in the Yangtze River Delta and Pearl River Delta regions.(2)Average coupling coordination improved from"initial discoordination"in 2011 to"basic coordination"in 2023,indicating positive trends in coordinated development,but significant disparities persist among provinces,with the Bohai Rim region generally lagging behind the Yangtze River Delta and Pearl River Delta regions.(3)Regional development imbalances stem from industrial infrastructure,capital investment,talent allocation,and environmental governance.Recommendations include advancing technological integration and industrial upgrading,implementing region-specific strategies,and strengthening policy support and digital governance to synergize fishery digitalization with high-quality development,thus supporting the strategy of building a maritime power.关键词
渔业数字化/海洋渔业经济高质量发展/耦合协调关系/熵权法Key words
fishery digitalization/high-quality development of marine fishery economy/coupling coordination relationship/entropy weight method分类
管理科学
